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Re: st: Marginsplot on backtransformed data


From   Ulrich Kohler <ukohler@uni-potsdam.de>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Marginsplot on backtransformed data
Date   Thu, 19 Dec 2013 08:42:28 +0100

Here is a solution that works reasonably well (using a log transform).


. use http://www.stata-press.com/data/kk3/data1, clear
. gen logincome = log(income)
. reg lsat logincome i.sex i.mar
. margins, at(logincome=(6(.1)10))
. matrix at = r(at)
. parmest, bmat(r(b)) vmat(r(V)) fast
. svmat at
. gen x = exp(at1)
. tw || rarea min95 max95 x || line estimate x

data1.dta is the prime example data set of Kohler/Kreuter "Data Analysis Using Stata", published by Stata Press, and -parmest- is uswer-written by Roger Newson and available from SSC:

. ssc install parmest

Many regards

Uli


Am 19.12.2013 07:58, schrieb Daniel Herbert Opi:
Hi All,

I am using the marginsplot function to plot graphs that take into
account adjustments I have carried out following a regression
analysis. Since my regression analysis contains data that has been
normalised by square root transformation, the plots are not that
easily interpretable. Is there a way to plot the same graphs but
somehow tell Stata/marginsplot to use back-transformed results? And
does the margins function store predictions that can be accessed?

I am using Stata 13 and the following are examples of commands I am using:

regress squareroot_transformed_variable i.categorical1 i.categorical2

margins categorical1

marginsplot

Kind Regards
Herbert
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